Optimal integration and management of solar generation and battery storage system in distribution systems under uncertain environment

Abstract

The simultaneous placement of solar photovoltaics (SPVs) and battery energy storage systems (BESSs) in distribution systems is a highly complex combinatorial optimization problem. It not only involves siting and sizing but is also embedded with charging and discharging dispatches of BESSs under dynamically varying system states with intermittency of SPVs and operational constraints. This makes the simultaneous allocation a nested problem, where the operational part acts as a constraint for the planning part and adds complexity to the problem. This paper presents a bi-layer optimization strategy to optimally place SPVs and BESSs in the distribution system. A simple and effective operating BESS strategy model is developed to mitigate reverse power flow, enhance load deviation index and absorb variability of load and power generation which are essential features for the faithful exploitation of available renewable energy sources (RESs). In the proposed optimization strategy, the inner layer optimizes the energy management of BESSs for the sizing and siting as suggested by the outer layer. Since the inner layer optimizes each system state separately, the problem search space of GA is significantly reduced. The application results on a benchmark 33-bus test distribution system highlight the importance of the proposed method.

Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Electrical and Electronic Engineering
College of Engineering & Physical Sciences
Additional Information: IJRER provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
Uncontrolled Keywords: Battery energy storage systems,Bi-layer optimization strategy,Distribution systems,Multi-objective optimization,RES integration,Renewable Energy, Sustainability and the Environment,Energy Engineering and Power Technology
Publication ISSN: 1309-0127
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.ijr ... icle/view/10130 (Publisher URL)
PURE Output Type: Article
Published Date: 2020-03-01
Accepted Date: 2020-01-07
Authors: Thokar, Rayees Ahmad
Gupta, Nikhil
Niazi, K. R.
Swarnkar, Anil
Sharma, Sachin
Meena, K. (ORCID Profile 0000-0002-4092-3921)

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